Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms

Abstract Background Quality of life (QoL) of older adults has become a pivotal concern of the public and health system. Previous studies found that both cognitive decline and neuropsychiatric symptoms (NPS) can affect QoL in older adults. However, it remains unclear how these symptoms are related to...

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Main Authors: Chaoqun He, Xiangyi Kong, Jinhui Li, Xingyi Wang, Xinqiao Chen, Yuanyi Wang, Qing Zhao, Qian Tao
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Geriatrics
Subjects:
Online Access:https://doi.org/10.1186/s12877-023-04462-4
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author Chaoqun He
Xiangyi Kong
Jinhui Li
Xingyi Wang
Xinqiao Chen
Yuanyi Wang
Qing Zhao
Qian Tao
author_facet Chaoqun He
Xiangyi Kong
Jinhui Li
Xingyi Wang
Xinqiao Chen
Yuanyi Wang
Qing Zhao
Qian Tao
author_sort Chaoqun He
collection DOAJ
description Abstract Background Quality of life (QoL) of older adults has become a pivotal concern of the public and health system. Previous studies found that both cognitive decline and neuropsychiatric symptoms (NPS) can affect QoL in older adults. However, it remains unclear how these symptoms are related to each other and impact on QoL. Our aim is to investigate the complex network relationship between cognitive and NPS symptoms in older adults, and to further explore their association with QoL. Methods A cross-sectional study was conducted in a sample of 389 older individuals with complaints of memory decline. The instruments included the Neuropsychiatric Inventory, the Mini Mental State Examination, and the 36-item Short Form Health Survey. Data was analyzed using network analysis and mediation analysis. Results We found that attention and agitation were the variables with the highest centrality in cognitive and NPS symptoms, respectively. In an exploratory mediation analysis, agitation was significantly associated with poor attention (β = -0.214, P < 0.001) and reduced QoL (β = -0.137, P = 0.005). The indirect effect of agitation on the QoL through attention was significant (95% confidence interval (CI) [-0.119, -0.035]). Furthermore, attention served as a mediator between agitation and QoL, accounting for 35.09% of the total effect. Conclusions By elucidating the NPS-cognition-QoL relationship, the current study provides insights for developing rehabilitation programs among older adults to ensure their QoL.
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spelling doaj.art-0bf5b033b9df4f1ebe0d64a7716c4aee2023-12-17T12:29:24ZengBMCBMC Geriatrics1471-23182023-12-0123111210.1186/s12877-023-04462-4Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptomsChaoqun He0Xiangyi Kong1Jinhui Li2Xingyi Wang3Xinqiao Chen4Yuanyi Wang5Qing Zhao6Qian Tao7Department of Public Health and Preventive Medicine, School of Medicine, Jinan UniversityChina–Japan Union Hospital of Jilin University, Jilin UniversityDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan UniversityChina–Japan Union Hospital of Jilin University, Jilin UniversityThe First Bethune Hospital of Jilin University, Jilin UniversityThe First Hospital of Jilin University, Jilin UniversityChina–Japan Union Hospital of Jilin University, Jilin UniversityDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan UniversityAbstract Background Quality of life (QoL) of older adults has become a pivotal concern of the public and health system. Previous studies found that both cognitive decline and neuropsychiatric symptoms (NPS) can affect QoL in older adults. However, it remains unclear how these symptoms are related to each other and impact on QoL. Our aim is to investigate the complex network relationship between cognitive and NPS symptoms in older adults, and to further explore their association with QoL. Methods A cross-sectional study was conducted in a sample of 389 older individuals with complaints of memory decline. The instruments included the Neuropsychiatric Inventory, the Mini Mental State Examination, and the 36-item Short Form Health Survey. Data was analyzed using network analysis and mediation analysis. Results We found that attention and agitation were the variables with the highest centrality in cognitive and NPS symptoms, respectively. In an exploratory mediation analysis, agitation was significantly associated with poor attention (β = -0.214, P < 0.001) and reduced QoL (β = -0.137, P = 0.005). The indirect effect of agitation on the QoL through attention was significant (95% confidence interval (CI) [-0.119, -0.035]). Furthermore, attention served as a mediator between agitation and QoL, accounting for 35.09% of the total effect. Conclusions By elucidating the NPS-cognition-QoL relationship, the current study provides insights for developing rehabilitation programs among older adults to ensure their QoL.https://doi.org/10.1186/s12877-023-04462-4Network analysisMediationNeuropsychiatric symptomsCognitionAttentionAgitation
spellingShingle Chaoqun He
Xiangyi Kong
Jinhui Li
Xingyi Wang
Xinqiao Chen
Yuanyi Wang
Qing Zhao
Qian Tao
Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms
BMC Geriatrics
Network analysis
Mediation
Neuropsychiatric symptoms
Cognition
Attention
Agitation
title Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms
title_full Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms
title_fullStr Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms
title_full_unstemmed Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms
title_short Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms
title_sort predictors for quality of life in older adults network analysis on cognitive and neuropsychiatric symptoms
topic Network analysis
Mediation
Neuropsychiatric symptoms
Cognition
Attention
Agitation
url https://doi.org/10.1186/s12877-023-04462-4
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